时空相关的混载校车路径问题邻域搜索 (Spatiotemporal Neighborhood Search for Solving Mixed-load School Bus Routing Problem). - Lanxue Dang; Yan-E. Hou; Yunfeng Kong (计算机科学, 2015)

求解多车型校车路径问题的带参数选择机制的GRASP算法 (GRASP Algorithm with Parameter Selection Mechanism for Heterogeneous Fleet School Bus Routing Problem). - Yan-E. Hou; Lanxue Dang; Yunfeng Kong; Yi Xie 010 (计算机科学, 2016)

求解车辆路径问题的改进扰动机制的ILS算法 (Iterated Local Search Algorithm with Improved Perturbation Mechanism for Vehicle Routing Problem). - Yan-E. Hou; Yunfeng Kong; Lanxue Dang (计算机科学, 2016)

车辆数限制的多车型校车路径问题模型及算法研究 (Model and Algorithm for Heterogeneous Fixed Fleet School Bus Routing Problem). - Yan-E. Hou; Yunfeng Kong; Lanxue Dang; Yi Xie 010 (计算机科学, 2016)

一种求解多校多车型校车路径问题的元启发算法 (Metaheuristic Algorithm for Solving Multi-school Heterogeneous School Bus Routing Problem). - Yan-E. Hou; Yunfeng Kong; Lanxue Dang; Yujing Wang (计算机科学, 2017)

求解多车型校车路径问题的混合集合划分的GRASP算法 (Greedy Randomized Adaptive Search Procedure Algorithm Combining Set Partitioning for Heterogeneous School Bus Routing Problems). - Yan-E. Hou; Yunfeng Kong; Lanxue Dang (计算机科学, 2018)

Simulating the spatial diffusion of memes on social media networks. - Lanxue Dang; Zhuo Chen; Jay Lee; Ming-Hsiang Tsou; Xinyue Ye (Int. J. Geogr. Inf. Sci., 2019)

Location Rating Based on Graph Neural Network. - Fengbin Zheng; Li Ding; Lanxue Dang (CIAT, 2020)

A Metaheuristic Algorithm for Routing School Buses With Mixed Load. - Yan-E. Hou; Lanxue Dang; Weichuan Dong; Yunfeng Kong (IEEE Access, 2020)

Depth-Wise Separable Convolution Neural Network with Residual Connection for Hyperspectral Image Classification. - Lanxue Dang; Peidong Pang; Jay Lee (Remote. Sens., 2020)

A Dual-Path Small Convolution Network for Hyperspectral Image Classification. - Lanxue Dang; Peidong Pang; Xianyu Zuo; Yang Liu 055; Jay Lee (Remote. Sens., 2021)

Research Progress on Models, Algorithms, and Systems for Remote Sensing Spatial-Temporal Big Data Processing. - Yang Liu 055; Lanxue Dang; Shenshen Li; Kun Cai; Xianyu Zuo (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

A Hybrid BiLSTM-ATT Model for Improved Accuracy Sentiment Analysis. - Lanxue Dang; Chunyu Wang; Hongyu Han; Yan-E. Hou (HPCC/DSS/SmartCity/DependSys, 2022)

An effective global learning framework for hyperspectral image classification based on encoder-decoder architecture. - Lanxue Dang; Chongyang Liu; Weichuan Dong; Yan-E. Hou; Qiang Ge; Yang Liu 055 (Int. J. Digit. Earth, 2022)

Contextual Spatial-Channel Attention Network for Remote Sensing Scene Classification. - Yan-E. Hou; Kang Yang; Lanxue Dang; Yang Liu 055 (IEEE Geosci. Remote. Sens. Lett., 2023)

A Multi-Scale Object Detector Based on Coordinate and Global Information Aggregation for UAV Aerial Images. - Liming Zhou; Zhehao Liu; Hang Zhao; Yan-E. Hou; Yang Liu 055; Xianyu Zuo; Lanxue Dang (Remote. Sens., 2023)

A Deep Reinforcement Learning Real-Time Recommendation Model Based on Long and Short-Term Preference. - Yan-E. Hou; Wenbo Gu; Weichuan Dong; Lanxue Dang (Int. J. Comput. Intell. Syst., 2023)

CPFU-Net: A Channel Position Wide Focus Mechanism based on U-Net for Building Image Segmentation Algorithm. - Cheng Liu; Yue Pang; Tiezhu Li; Jiawei Sun; Xianyu Zuo; Lanxue Dang; Liming Zhou; Baojun Qiao (CAIBDA, 2024)

Hyperspectral Image Classification Based on Faster Residual Multi-branch Spiking Neural Network. - Yang Liu 055; Yahui Li; Rui Li; Liming Zhou; Lanxue Dang; Huiyu Mu; Qiang Ge (CoRR, 2024)

Sentiment analysis of COVID-19 related social distancing using twitter data based on deep learning. - Lanxue Dang; Chunyu Wang; Ming-Hsiang Tsou; Yan-E. Hou; Hongyu Han (Multim. Tools Appl., 2024)